Machine Learning Specialist

Vakansiyanın detalları

Conduct data analysis and modeling to derive actionable insights.
Develop and deploy predictive and prescriptive models in a controlled environment.
Apply a deep understanding of machine learning algorithms and techniques.
Continuously explore and implement state-of-the-art ML approaches.
Perform advanced data preprocessing and cleaning.
Implement feature engineering and transformation.
Ensure data quality and consistency.
Create informative and visually appealing data visualizations.
Communicate findings to both technical and non-technical stakeholders.
Document data sources, preprocessing steps, and model development processes.
Create clear and organized documentation for projects.
Apply domain-specific knowledge to solve industry-specific challenges.
Understand and align data science solutions with business objectives.
Collaborate with cross-functional teams, including data engineers and business analysts.
Stay updated with the latest data science trends and technologies.
Identify opportunities to improve data science processes.
Ensure data privacy and adhere to ethical data handling practices.
Encourage continuous learning, knowledge sharing and skill development among team members.
Handling incoming requests from other departments.

BSc/BA in Computer Science, Computer Engineering, Math or relevant field; graduate degree in Data Science or another quantitative field or equivalent experience.
Proven experience as a Data Scientist (minimum 2 year)
Fluent Azeri and English, Russian is a plus.
Moderate experience of statistical methods and hypothesis testing.
Proficiency in building predictive and prescriptive models.
Mastery of machine learning algorithms and techniques.
Distributed computing and parallel processing for large-scale data analysis.
Proficiency in SQL for querying and manipulating relational databases.
Expertise in programming languages such as Python and R.
Ability to develop production-ready code and scripts.
Proficiency in using version control systems like Git for code management and collaboration.
Experience in model experiments tracking tools (e.g., MLflow).
Knowledge of containerization (e.g., Docker).

Müraciət üçün (CV): https://www.caspianic.com/?section=careers&department=allcareer